Search in my way: Practical outsourced image retrieval framework supporting unshared key

Publication Type

Conference Proceeding Article

Publication Date

5-2019

Abstract

The traditional privacy-preserving image retrieval schemes not only bring large computational and communication overhead but also cannot well protect the image and query privacy in multi-user scenarios. To solve the above problems, we first propose a basic privacy-preserving content-based image retrieval (CBIR) framework which significantly reduces storage and communication overhead compared with the previous works. Furthermore, we design a new efficient key conversion protocol to support unshared key multi-owner multi-user image retrieval without losing search precision. Moreover, our framework supports unbounded attributes and can trace malicious users according to leaked secret keys, which significantly improve the usability of multi-source data sharing. Strict security analysis shows that the user privacy and outsourced data security can be guaranteed during the image retrieval process, and the performance analysis using real-world dataset shows that the proposed image retrieval framework is efficient and feasible for practical applications.

Keywords

Content-based image retrieval, Multi-source data sharing, Privacy-preserving, Unshared key

Discipline

Computer and Systems Architecture | Digital Communications and Networking

Publication

Proceedings of 2019 IEEE Conference on Computer Communications, Paris, France, 2019 April 29 - May 2

First Page

2485

Last Page

2493

ISBN

9781728105154

Identifier

10.1109/INFOCOM.2019.8737619

City or Country

Paris, France

Additional URL

https://doi.org/10.1109/INFOCOM.2019.8737619

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